Title of dataset: Complete covidestim model

Contact information: corresponding author
Fayette Klaassen
klaassen.fayette@gmail.com

Structure of dataset:

This dataset contains the output of the full covidestim model, as outlined in <pre-print>, to render infection and immunity estimates over the entire pandemic for US states.

All results were rendered using the covidestim R package (github.com/covidestim/covidestim <branch: complete-model>), with 3 chains and 1000 iterations per chain. The input data is rendered from the covidestim-sources Github repository, the 'rework' branch, that has been developed to render a complete input data.

There .RDS files for each state; and .csv, each with a unique format, described below

## Input-data.csv
The file input-data.csv contains the input data used to run the covidestim models

## Folders no-hybrid-waning and hybrid-waning
The output is organized in two folders, naming whether hybrid specific waning was applied (hybrid-waning) or not (no-hybrid-waning). The default results are those with hybrid waning, the results with no hybrid waning are used as a sensitivity analysis.

### summary.csv / summaryEpi.csv
- summary.csv	: containing the 2.5%, 50%, and 97.5% quantile estimates by state of the time varying outputs, using the covidestim::summary() function (note, this does not contain ALL the available output parameters from the .RDS$extracted)
- summaryEpi.csv : containing the 2.5%, 50%, and 97.5% quantile estimates by state of the time-constant outputs from the covidestim::summaryEpi() function

### .RDS files

The files are names <state-name>.RDS
- statename refers to the US state the results describe

Each .RDS file is a named list, containing
- config: the configuration settings used in the 'covidestim' function; this includes the observed data and priors used
- extracted: the raw stan output (by iteration)
- summary: the stan summary (aggregated over iterations)
- flags: lists any (if present) warnings or flags on the output


